Evidence map›Paper›PMID 37142735›Full record

ArticleScientific reports2023

Association between ultra-processed foods intake with lipid profile: a cross-sectional study.

Mehran Nouri, Sevda Eskandarzadeh, Maede Makhtoomi, Milad Rajabzadeh-Dehkordi, Niloofar Omidbeigi, Maryam Najafi, Shiva Faghih

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
6.4field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Mehran NouriDepartment of Community Nutrition, School of Nutrition and Food Science, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID 0000-0002-7031-3542
Sevda EskandarzadehDepartment of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-0681-5385
Maede MakhtoomiStudents' Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID 0000-0002-5757-1694
Milad Rajabzadeh-DehkordiDepartment of Community Nutrition, School of Nutrition and Food Science, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID 0000-0002-4035-858X
Niloofar OmidbeigiDepartment of Clinical Nutrition, School of Nutrition and Food Science, Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Maryam NajafiDepartment of Community Nutrition, School of Nutrition and Food Science, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID 0000-0003-1831-115X
Shiva FaghihDepartment of Community Nutrition, School of Nutrition and Food Science, Shiraz University of Medical Sciences, Shiraz, Iran. shivafaghih@gmail.com.ORCID 0000-0002-0554-538X
Shiraz University of Medical Sciences · IRIran University of Medical Sciences · IRIsfahan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this cross-sectional study was to examine the association between ultra-processed foods (UPFs) intake and lipid profile in Iranian people. The study was performed on 236 individuals with the age range of 20-50 years in Shiraz, Iran. Food intakes of the participants were evaluated using a 168-item food frequency questionnaire (FFQ) which was previously validated in Iranian populations. In order to estimate the ultra-processed foods intake, classification of NOVA food group was used. Serum lipids including total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C) were measured. The results showed that mean of age and body mass index (BMI) of the participants were 45.98 years and 28.28 kg/m

Indexed as

DietFood, ProcessedAdultCross-Sectional StudiesEnergy IntakeHumansIranMiddle AgedTriglyceridesYoung AdultTriglycerides

Identifiers

PMID37142735
PMCPMC10160124
OpenAlexW4368364663

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.